Bibliographic record
Abstract
My paper investigates ten Punjabi-Sikh youth from the ages of 18 to 25, across Ontario, this study attempts to answer how Sikh youth identify themselves and what external and social influences affect perception and identity. As Punjabi-Sikh youth struggle to find their identity in the midst of competing expectations, they may face institutional and structural barriers that may further complicate their identity. While there is extensive literature on the reception of first generation Sikhs in Canada, there is minimal information on how second-generation Sikhs have integrated within the mainstream culture. There are many important questions to be answered, such as, do Western euro-centric values and beliefs by the mainstream contradict with traditional and cultural beliefs? How do youth accommodate some cultural and religious values over others? Are there multiple oppressions, which are in conflict with retaining an ethnic and cultural identity? How do the values, expectations, and beliefs of Punjabi-Sikh parents differ from their children's? How do youth negotiate their cultural and religious identity in the face of conflicting expectations from parents, school, and their community? These are just some of the questions that will be explored in this study.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.017 | 0.005 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".